PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse is a research paper published in Journal of the American Medical Informatics Association (2025). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
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DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βNational Center for Advancing Translational Sciences
Grant: UM1TR005121
National Center for Advancing Translational Sciences
Grant: UM1TR004404
National Library of Medicine
Grant: K01LM013088
NLM NIH HHS
Grant: K01LM013088-L.K.W.
National Institutes of Health's National Center for Advancing Translational Sciences
Grant: UM1TR004404-R.L.R.
National Institutes of Health's National Center for Advancing Translational Sciences
Grant: UM1TR005121-L.V.R.
National Institutes of Health
Grant: 5UM1TR005121-02
NUCATS CTSA UM1 at Northwestern University
National Institutes of Health
Grant: 1UM1TR004404-01
Michigan Institute for Clinical and Health Research (MICHR)
National Institutes of Health
Grant: 3K01LM013088-02S1
Clinical Evidence Generation from Electronic Health Records for Precision Medicine
NIH HHS
National Institutes of Health
FWCI
4.78
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
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